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    <title>cdfbin</title>
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    <center>Scilab Function</center>
    <div align="right">Last update : Dec 1997</div>
    <p>
      <b>cdfbin</b> -  cumulative distribution function Binomial distribution</p>
    <h3>
      <font color="blue">Calling Sequence</font>
    </h3>
    <dl>
      <dd>
        <tt>[P,Q]=cdfbin("PQ",S,Xn,Pr,Ompr)  </tt>
      </dd>
      <dd>
        <tt>[S]=cdfbin("S",Xn,Pr,Ompr,P,Q)  </tt>
      </dd>
      <dd>
        <tt>[Xn]=cdfbin("Xn",Pr,Ompr,P,Q,S)  </tt>
      </dd>
      <dd>
        <tt>[Pr,Ompr]=cdfbin("PrOmpr",P,Q,S,Xn)  </tt>
      </dd>
    </dl>
    <h3>
      <font color="blue">Parameters</font>
    </h3>
    <ul>
      <li>
        <tt>
          <b>P,Q,S,Xn,Pr,Ompr</b>
        </tt>: six real vectors of the same size.</li>
      <li>
        <tt>
          <b>P,Q (Q=1-P)  </b>
        </tt>: The cumulation from 0 to S of the binomial distribution. (Probablility of S or fewer successes in XN trials each with probability of success PR.) Input range: [0,1].</li>
      <li>
        <tt>
          <b>S</b>
        </tt>: The number of successes observed. Input range: [0, XN] Search range: [0, XN]</li>
      <li>
        <tt>
          <b>Xn</b>
        </tt>: The number of binomial trials. Input range: (0, +infinity). Search range: [1E-300, 1E300]</li>
      <li>
        <tt>
          <b>Pr,Ompr (Ompr=1-Pr)  </b>
        </tt>: The probability of success in each binomial trial. Input range: [0,1]. Search range: [0,1]</li>
    </ul>
    <h3>
      <font color="blue">Description</font>
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    <p>
    Calculates any one parameter of the binomial
    distribution given values for the others.</p>
    <p>
    Formula  26.5.24    of   Abramowitz  and    Stegun,  Handbook   of
    Mathematical   Functions (1966) is   used  to reduce the  binomial
    distribution  to  the  cumulative incomplete    beta distribution.</p>
    <p>
    Computation of other parameters involve a seach for a value that
    produces  the desired  value  of P.   The search relies  on  the
    monotinicity of P with the other parameter.</p>
    <p>
    From DCDFLIB: Library of Fortran Routines for Cumulative Distribution
    Functions, Inverses, and Other Parameters (February, 1994)
    Barry W. Brown, James Lovato and Kathy Russell. The University of
    Texas.</p>
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